DiagramPreview
AI betaAIDeepSeekLocal fallbackMermaid

Architecture Diagram Generator

Describe a system architecture and generate editable Mermaid diagrams for services, queues, databases, clients, and external integrations.

Beispiele
Diagram preview
Describe a system architecture and generate editable Mermaid diagrams for services, queues, databases, clients, and external integrations.

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Move this output into a nearby workflow for preview, conversion, or debugging.

Verwendung

  1. 1Describe the target diagram in plain language.
  2. 2Choose a diagram type and generate code with AI.
  3. 3Review the output, edit it if needed, then export or copy the source.

Anwendungsfälle

Architecture documentationSystem design draftsEngineering planning

FAQ

Which AI provider is used?

The server calls DeepSeek directly and uses a local template fallback when DeepSeek is unavailable or not configured.

Are API keys exposed to the browser?

No. API keys are read only on the server through environment variables.

Generate Mermaid architecture diagrams from product or system notes with AI.

Describe a system architecture and generate editable Mermaid diagrams for services, queues, databases, clients, and external integrations.

The server calls DeepSeek directly and uses a local template fallback when DeepSeek is unavailable or not configured.

Demo: generate a system architecture diagram from notes

Architecture notes usually mix components, deployment details, and product behavior. A good generated diagram separates boundaries and shows only the dependencies that matter for review.

  • Include users, external providers, services, queues, and data stores.
  • State whether the diagram should show runtime flow or deployment topology.
  • Ask the model to keep labels short for preview and export.
Generate a Mermaid architecture diagram for a multi-tenant SaaS. Include browser, CDN, Next.js app, API gateway, tenant service, billing service, Postgres, Redis, event bus, worker, and email provider. Highlight tenant isolation boundary.

Architecture review: identify what the diagram should prove

A useful architecture diagram answers a question: where data flows, what can fail, which boundary protects sensitive data, or how a service scales. Without that question, generated diagrams tend to become decorative.

  • Write the review question in the prompt.
  • Remove details that do not support that question.
  • Keep security and data ownership boundaries visible.
Review question: can checkout continue if analytics is down?
Diagram focus: synchronous checkout path vs async analytics path.

Review-Checkliste für Architecture Diagram Generator

Nutze Architecture Diagram Generator, um Quellinhalte vor Dokumentation, PR-Notizen, Incident-Berichten oder Übergaben visuell zu prüfen. Generate Mermaid architecture diagrams from product or system notes with AI.

Prüfe vor dem Export Lesbarkeit, Beziehungen, sensible Daten und ob die Vorschau nach Änderungen weiterhin passt.

Grenzen und Fehlersuche

Wenn die Vorschau fehlschlägt, reduziere die Eingabe auf ein kleines vollständiges Beispiel und füge Abschnitte schrittweise zurück.

Behandle die Vorschau als Review-Fläche, nicht als Quelle der Wahrheit. Kritische Ergebnisse brauchen menschliche Prüfung.

Beispieleingaben

  • SaaS architecture: Design a SaaS architecture with browser, CDN, Next.js app, API gateway, auth service, billing service, worker queue, PostgreSQL, Redis, object storage, and email provider.
  • Event driven: Create an event-driven order platform with checkout API, order service, payment provider, event bus, inventory service, shipping service, analytics pipeline, and data warehouse.
  • Edge deployment: Show an edge image processing architecture with users, edge cache, upload API, job queue, image workers, object storage, metadata database, and webhook callbacks.

Werkzeugreife

AI beta

AI-gestützte Beta

Dieses Werkzeug erzeugt editierbaren Quelltext mit AI. Prüfe, rendere lokal und passe Details vor der Veröffentlichung an.

Das Label zeigt, ob das Werkzeug eher für stabilen Export, Debugging, schnelles Parsen oder AI-gestützte Generierung gedacht ist.